New Apex Martech Matrix Targets a Critical Blind Spot in Martech Investment

Landmark CMO Council and MartechTribe research reveals how outperformers align martech capabilities and organizational maturity with industry and business strategy

Martech investment has a costly blind spot. Companies spend billions evaluating platforms, comparing features and building increasingly sophisticated technology stacks. But they have far less visibility into a more important question: Will those investments deliver superior business performance?

AI is making that question more urgent. As companies add AI capabilities to already complex technology environments, getting the underlying martech investment strategy wrong can compound fragmentation, complexity and technology debt.

New research from the CMO Council and MartechTribe addresses that blind spot. The report, Apex Martech Matrix 2026: A New Metric  for Evaluating the Business Value of Martech Spend, challenges one of the most deeply held assumptions in enterprise technology that buying the “best” software and adding more functionality will lead to better performance.

It doesn’t work that way.

The research finds there is no universal best martech stack, technology category or feature set. What matters is alignment - matching technology capabilities and organizational maturity to the investment patterns associated with superior performance within a particular industry and business strategy.

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“For decades, companies have been told to buy the best technology and adopt industry best practices. Our data shows why that approach falls short,” said MartechTribe founder Frans Riemersma. “The goal isn’t  to build the biggest or most sophisticated stack. It’s to build the best-aligned one.”

The Best Martech Stack Doesn’t Exist

For more than two decades, technology buying has largely been viewed through a technology lens. Analyst rankings, feature comparisons, RFPs and vendor demonstrations help companies determine which platforms offer the richest functionality and strongest capabilities.

What they don’t tell companies is whether those capabilities are the right investments for their business. The Apex research adds that missing business-performance lens through data showing how technology investment patterns differ between outperformers and their industry peers.

MartechTribe analyzed 988 real-world martech stacks across seven industries, examining approximately 1,300 features across 49 martech categories. The research compares how companies deploy technology with the investment patterns of companies in the top 30% for revenue per employee within their respective industries.

The analysis uncovered six fundamental findings:

1. Don’t copy “universal” best practices. The same technology investment can be associated with outperformance in one industry but not in another.
2. Don’t assume more technology creates more value. Broader functionality creates value only in the right context.
3. Don’t lean on better execution as always the answer. Higher organizational maturity - including skills, processes and organizational structure - is not universally associated with superior performance.
4. Do align technology investment with industry and company strategy. Whether an organization should invest in features, maturity, both or neither depends on the industry, martech category and business strategy.
5. Do learn from outperformers. Understand the technology investment patterns associated with industry outperformance, then align those insights with your own strategy.
6. Do start building best-aligned technology. There is no universal best martech solution. There is only technology that is better or worse aligned with the needs of a particular business.

From Best-in-Class to Best-Aligned

The Apex Martech Matrix turns those findings into an actionable framework designed to address the blind spot in traditional martech evaluation. Rather than asking which vendor or platform is “best,” the Apex Matrix asks a more consequential question: How closely does an organization’s martech investment pattern align with the patterns associated with outperformers in its industry?

It evaluates organizations across two dimensions:

Martech Presence measures feature sophistication - whether the relevant technology capabilities are present.

Martech Performance measures maturity - whether the organization has the people, processes and skills to turn those capabilities into performance.

Together, those dimensions place organizations into four alignment profiles:

• Powerhouse: Strong functionality and strong execution. 
• Precision: Strong maturity but limited capabilities. 
• Overbuilt: Capabilities exceed the organization’s ability to use them effectively.
• Underbuilt: Both capabilities and maturity are limited, creating significant opportunity for improvement.

The accompanying Apex Martech Score quantifies alignment on a 0-to-100 scale and identifies the categories offering the greatest potential for improvement. The score does not reward broader functionality or higher maturity for their own sake. It rewards fit.

That distinction changes the investment conversation. Instead of simply identifying what technology a company could buy, the Apex Matrix is designed to help determine where additional investment may create value, where organizational maturity needs to catch up and where spending more could produce little return.

AI Raises the Stakes for Martech Evaluation

The implications extend well beyond martech optimization. AI is adding another layer of capability to existing technology environments. Research cited in the report finds 85% of organizations are using AI to enhance their existing technology stacks, while 30% are also replacing some existing SaaS functionality with AI.

That makes the underlying technology foundation more important, not less. A well-aligned stack gives AI stronger data, workflows, governance and systems to build upon. A poorly aligned stack can amplify fragmentation, complexity and technology debt.

Companies need to know not only whether a platform has sophisticated AI capabilities, but whether those capabilities fit the organization’s strategy, existing technology environment and ability to put them to work.

Stack Follows Strategy

The research also calls into question another popular prescription: wholesale martech consolidation.

In five of the seven industries analyzed, 3% or fewer martech categories emerged as candidates for divestment. Retail and Consumer Goods were higher at 12%, but even those results do not support broad elimination of technology categories. Instead, the research suggests that consolidation opportunities often exist within individual tools, features and overlapping capabilities.

At the same time, 15% to 22% of martech categories represent potential quick wins across industries. These are areas where top performers use broader functionality without requiring higher organizational maturity. In some cases, companies may already own the technology they need. 

The opportunity is to identify and activate the capabilities that matter. Technology decisions should begin with the business outcome, not the feature list. The optimal investment can vary dramatically by industry, technology category and company strategy.

“Marketing has spent years chasing more technology, more features as though there were a universal path to martech excellence,” said Tom Kaneshige, Chief Content Officer, CMO Council. “The blind spot has been understanding whether those investments actually fit the business. The Apex Martech Matrix shifts the conversation from ‘What’s the best technology?’ to ‘What’s the right technology given our current operational maturity?’ It’s more important than ever because AI will amplify whatever foundation you give it.”

The Apex Martech Matrix addresses a critical blind spot in martech investment. It provides objective evidence to help determine whether technology capabilities and organizational maturity are aligned with the investment patterns associated with superior business performance.

About the Research

The Apex Martech Matrix examines real-world technology deployments rather than relying solely on analyst recommendations, vendor promises or stated buying preferences. The research analyzed 988 martech stacks across seven industries, classifying technologies across 49 martech categories and measuring feature sophistication, martech maturity and revenue per employee.

The underlying feature analysis encompasses approximately 1,300 unique features across 15,505 martech solutions. Martech maturity is evaluated using a model based on the Capability Maturity Model, measuring organizational capability from ad hoc execution through optimized processes.

Download Apex Martech Matrix 2026: A New Metic for Evaluating the Business Value of Martech Spend at https://www.cmocouncil.org/thought-leadership/reports/apex-martech-matrix-2026-a-new-metic-for-evaluating-the-business-value-of-martech-spend